def test_error_fit_twice_set_features_only_models(
self, time_series, time_series_forecasting_model1_cache,
features2):
time_series_forecasting_model1_cache.fit(time_series)
time_series_forecasting_model1_cache.set_params(features=features2)
with pytest.raises(sklearn.exceptions.NotFittedError):
time_series_forecasting_model1_cache.fit(time_series,
only_model=True)
def test_fit_twice_set_model_only_models(
self, time_series, time_series_forecasting_model1_cache, model2):
time_series_forecasting_model1_cache.fit(time_series)
time_series_forecasting_model1_cache.set_params(model=model2)
time_series_forecasting_model1_cache.fit(time_series, only_model=True)